An Approach for Removing Redundant Data from RFID Data Streams

Radio frequency identification (RFID) systems are emerging as the primary object identification mechanism, especially in supply chain management. However, RFID naturally generates a large amount of duplicate readings. Removing these duplicates from the RFID data stream is paramount as it does not contribute new information to the system and wastes system resources. Existing approaches to deal with this problem cannot fulfill the real time demands to process the massive RFID data stream. We propose a data filtering approach that efficiently detects and removes duplicate readings from RFID data streams. Experimental results show that the proposed approach offers a significant improvement as compared to the existing approaches

An approach to filtering RFID data streams

RFID is gaining significant thrust as the preferred choice of automatic identification and data collection system. However, there are various data processing and management problems such as missed readings and duplicate readings which hinder wide scale adoption of RFID systems. To this end we propose an approach that filters the captured data including both noise removal and duplicate elimination. Experimental results demonstrate that the proposed approach improves missed data restoration process when compared with the existing method.<br /

Energy Efficient In-network RFID Data Filtering Scheme in Wireless Sensor Networks

RFID (Radio frequency identification) and wireless sensor networks are backbone technologies for pervasive environments. In integration of RFID and WSN, RFID data uses WSN protocols for multi-hop communications. Energy is a critical issue in WSNs; however, RFID data contains a lot of duplication. These duplications can be eliminated at the base station, but unnecessary transmissions of duplicate data within the network still occurs, which consumes nodes’ energy and affects network lifetime. In this paper, we propose an in-network RFID data filtering scheme that efficiently eliminates the duplicate data. For this we use a clustering mechanism where cluster heads eliminate duplicate data and forward filtered data towards the base station. Simulation results prove that our approach saves considerable amounts of energy in terms of communication and computational cost, compared to existing filtering schemes

Pembelajaran berasaskan aplikasi iedutech berdasarkan gaya pembelajaran visual dalam kalangan pelajar Pendidikan Teknikal Dan Vokasional (PTV)

Pada asas setiap individu memiliki pelbagai gaya pembelajran semasa belajar. Jika pelajar dapat mengetahui gaya pembelajaran yang sesuai maka pelajar memperoleh keselesaan pembelajaran dan mengurangkan konflik yang timbul akibat pembelajaran. Gaya pembelajaran fleming VARK merupakan salah satu gaya pembelajaran yang meliputi secara Visual, Auditori, Baca atau Tulis dan Kinestetik dalam proses Pengajaran dan Pembelajaran (PdP). Kajian ini bertujuan untuk mengkaji tahap kebergunaan pembelajaran pelajar berasaskan aplikasi Iedutech berdasarkan gaya pembelajaran visual. Sampel kajian yang dijalankan adalah melibatkan seramai 32 orang pelajar yang mengambil subjek Teknologi Maklumat dalam Pendidikan di Fakulti Pendidikan Teknikal dan Vokasional (FPTV), Universiti Tun Hussein Onn Malaysia (UTHM). Kajian ini menggunakan kajian berbentuk Reka Bentuk Penyelidikan dan Pembangunan. Terdapat dua (2) jenis instrumen yang digunakan dalam kajian ini iaitu set soal selidik dan ujian pencapaian pra-pos. Perisian SPSS (Statistics Package for Social Science Version 22.0 for Windows) telah digunakan dalam menganalisis data yang diperolehi. Analisis data yang dijalankan adalah menggunakan skor min, kekerapan dan peratusan melalui tiga (3) aspek iaitu aspek isi kandungan, aspek interaksi dan aspek persembahan. Manakala Ujian-T (Paired T Test) digunakan bagi menilai pencapaian setiap pelajar. Dapatan kajian bagi tahap kebergunaan aplikasi Iedutech adalah nilai signifikan 0.000 (<0.5). Hal ini menunjukkan bahawa wujudnya perbezaan min yang signifikan di antara markah ujian pelajar dimana markah ujian pra lebih rendah daripada markah ujian pos pelajar. Secara kesimpulannya, aplikasi Iedutech dapat memberi manfaat dan kebaikan kepada pelajar yang dominan terhadap gaya pembelajaran secara visual dan secara tidak langsung dapat menigkatkan pencapaian pelajar dalam pembelajaran. Pengkaji juga berharap agar aplikasi Iedutech ini boleh dikembangkan lagi oleh pengkaji-pengkaji akan datang mengikut kesesuaian semasa

A review of radio frequency identification technologies and impacts on the hospital supply chain: 2002–2012

Supply costs are the second largest expenditure in hospitals, accounting for more than one third of the average operating budget. RFID technology can reduce these costs, improve patient safety, and supply chain management by increasing the ability to track and locate equipment, as well as monitoring theft prevention, distribution management, and patient billing. Findings of this study have shown that the application of RFID on medical equipment and supplies have resulted in efficiency increase in healthcare with lower costs and increased quality services. Even though the cost of RFID implementation is decreasing, the total expenditures are still significant and the return on investment remains unclear

Batch study on COD and ammonia nitrogen removal using granular activated carbon and cockle shells

Landfills generate leachate that contains elevated concentration of contaminants and is hazardous to human health and the ecosystem. In this study, the mixture of granular activated carbon and cockle shells was investigated for remediation of COD and ammonia from stabilized landfill leachate. All adsorbent media were sieved to a particle size between 2.00 and 3.35 mm. The optimum mixing ratio, shaking speed, shaking time, pH, and dosage were determined. Characterization results show that the leachate had a high concentration of COD (1763 mg/L), ammonia nitrogen (573 mg/L), and BOD5/COD ratio (0.09). The optimum mixing ratio of granular activated carbon and cockle shells was 20:20, shaking speed 150 rpm, pH level 6, shaking time 120 min, and dosage 32 g. The adsorption isotherm analysis reveals that the Langmuir isotherm yielded the best fit to experimental data as compared with the Freundlich isotherm. The media produce encouraging results and can be used as a good and economical adsorbent

Enhancing RFID data quality and reliability

This thesis addressed the problem of data quality, reliability and energy consumption of networked Radio Frequency Identification systems for business intelligence applications decision making processes. The outcome of the research substantially improved the accuracy and reliability of RFID generated data as well as energy depletion thus prolonging RFID system lifetime

Enchancing RFID data quality and reliability using approximate filtering techniques

Radio Frequency Identification (RFID) is an emerging auto-identification technology that uses radio waves to identify and track physical objects without the line of sight. While delivering significant improvements in various aspects, such as, stock management and inventory accuracy, there are serious data management issues that affect RFID data quality in preparing reliable solutions. The raw read rate in real world RFID deployments is often in the 60-70% range and naturally unreliable because of redundant and false readings. The redundant readings result in unnecessary storage and affect the efficiency of data processing. Furthermore, false readings that focused on false positive readings generated by cloned tag could be mistakenly considered as valid and affects the final results and decisions. Therefore, two approaches to enhance the RFID data quality and reliability were proposed. A redundant reading filtering approach based on modified Bloom Filter is presented as the existing Bloom Filter based approaches are quite intricate. Meanwhile, even though tag cloning has been identified as one of the serious RFID security issue, it only received little attention in the literature. Therefore we developed a lightweight anti-cloning approach based on modified Count- Min sketch vector and tag reading frequency from e-pedigree in observing identical Electronic Product Code (EPC) of the low cost tag in local site and distributed region in supply chain. Experimental results showed, that the first proposed approach, Duplicate Filtering Hash (DFH) achieved the lowest false positive rate of 0.06% and the highest true positive rate of 89.94% as compared to other baseline approaches. DFH is 71.1% faster than d-Left Time Bloom Filter (DLTBF) while reducing amount of hashing and achieved 100% true negative rate. The second proposed approach, Managing Counterfeit Hash (MCH) performs fastest and 25.7% faster than baseline protocol (BASE) and achieved 99% detection accuracy while DeClone 64% and BASE 77%. Thus, this study successfully proposed approaches that can enhance the RFID data quality and reliability